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<h2>Example Data of Antille and May - for Simple Regression</h2>

<h3>Description</h3>


<p>This is an artificial data set, cleverly construced and used by
Antille and May to demonstrate &lsquo;problems&rsquo; with LMS and LTS.
</p>


<h3>Usage</h3>

<pre>data(exAM)</pre>


<h3>Format</h3>


<p>A data frame with 12 observations on 2 variables, <code>x</code> and <code>y</code>.
</p>


<h3>Details</h3>


<p>Because the points are not in general position, both LMS and LTS
typically <EM>fail</EM>; however, e.g., <code>rlm(*,
    method="MM")</code> &ldquo;works&rdquo;.
</p>


<h3>Source</h3>


<p>Antille, G. and El May, H. (1992)
The use of slices in the LMS and the method of density slices:
Foundation and comparison.<br>
In Yadolah Dodge and Joe Whittaker, editors, <EM>COMPSTAT:
Proc. 10th Symp. Computat. Statist., Neuchatel</EM>, <B>1</B>, 441&ndash;445;
Physica-Verlag.
</p>


<h3>Examples</h3>

<pre>
data(exAM)
plot(exAM)
summary(ls &lt;- lm(y ~ x, data=exAM))
abline(ls)
</pre>


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